Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Chintan Parmar"'
Autor:
John Abel, Suyog Jain, Deepta Rajan, Harshith Padigela, Kenneth Leidal, Aaditya Prakash, Jake Conway, Michael Nercessian, Christian Kirkup, Syed Ashar Javed, Raymond Biju, Natalia Harguindeguy, Daniel Shenker, Nicholas Indorf, Darpan Sanghavi, Robert Egger, Benjamin Trotter, Ylaine Gerardin, Jacqueline A. Brosnan-Cashman, Aditya Dhoot, Michael C. Montalto, Chintan Parmar, Ilan Wapinski, Archit Khosla, Michael G. Drage, Limin Yu, Amaro Taylor-Weiner
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-14 (2024)
Abstract While alterations in nucleus size, shape, and color are ubiquitous in cancer, comprehensive quantification of nuclear morphology across a whole-slide histologic image remains a challenge. Here, we describe the development of a pan-tissue, de
Externí odkaz:
https://doaj.org/article/e77f4d0737534fd0a960be835c387e68
Autor:
Michael Griffin, Sandhya Srinivasan, Jake Conway, Benjamin Glass, Fedaa Najdawi, Ciyue Shen, Shima Nofallah, Chintan Parmar, Michael G Drage, Darpan T Sanghavi, Limin Yu, Raymond Biju, Daniel Borders, Matthew Bronnimann, Laura Chambre, Issac Finberg, Jonathan Glickman, Sidharth Gupta, Natalia Harguindeguy, Nhat Le, Stephanie Hennek, Syed Ashar Javed, Christian Kirkup, Miles Markey, Michael Nercessian, Daniel Shenker, Vignesh Valaboju, Samuel AV Mercedes, Bahar Rahsepar, Ryan Leung, Archit Khosla, Amaro Taylor-Weiner, Ylaine Gerardin, John Abel
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 11, Iss Suppl 1 (2023)
Externí odkaz:
https://doaj.org/article/f3f11b9b5b2b4183b35fd446b2be9291
Autor:
Roman Zeleznik, Borek Foldyna, Parastou Eslami, Jakob Weiss, Ivanov Alexander, Jana Taron, Chintan Parmar, Raza M. Alvi, Dahlia Banerji, Mio Uno, Yasuka Kikuchi, Julia Karady, Lili Zhang, Jan-Erik Scholtz, Thomas Mayrhofer, Asya Lyass, Taylor F. Mahoney, Joseph M. Massaro, Ramachandran S. Vasan, Pamela S. Douglas, Udo Hoffmann, Michael T. Lu, Hugo J. W. L. Aerts
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Coronary artery calcium is an accurate predictor of cardiovascular events but this information is not routinely quantified. Here the authors show a robust and time-efficient deep learning system to automatically quantify coronary calcium on CT scans
Externí odkaz:
https://doaj.org/article/81f5a66b63fb4263b0d804c5ab0e5cbe
Autor:
Stefano Trebeschi, Joost J. M. van Griethuysen, Doenja M. J. Lambregts, Max J. Lahaye, Chintan Parmar, Frans C. H. Bakers, Nicky H. G. M. Peters, Regina G. H. Beets-Tan, Hugo J. W. L. Aerts
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
Abstract Multiparametric Magnetic Resonance Imaging (MRI) can provide detailed information of the physical characteristics of rectum tumours. Several investigations suggest that volumetric analyses on anatomical and functional MRI contain clinically
Externí odkaz:
https://doaj.org/article/530f2a985a074fb7bdfb89c6da9063f9
Autor:
Stephen S. F. Yip, Ying Liu, Chintan Parmar, Qian Li, Shichang Liu, Fangyuan Qu, Zhaoxiang Ye, Robert J. Gillies, Hugo J. W. L. Aerts
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
Abstract Tumor phenotypes captured in computed tomography (CT) images can be described qualitatively and quantitatively using radiologist-defined “semantic” and computer-derived “radiomic” features, respectively. While both types of features
Externí odkaz:
https://doaj.org/article/d55a79bca4be44c7ac340a26b1dcd18b
Autor:
Ahmed Hosny, Chintan Parmar, Thibaud P Coroller, Patrick Grossmann, Roman Zeleznik, Avnish Kumar, Johan Bussink, Robert J Gillies, Raymond H Mak, Hugo J W L Aerts
Publikováno v:
PLoS Medicine, Vol 15, Iss 11, p e1002711 (2018)
BackgroundNon-small-cell lung cancer (NSCLC) patients often demonstrate varying clinical courses and outcomes, even within the same tumor stage. This study explores deep learning applications in medical imaging allowing for the automated quantificati
Externí odkaz:
https://doaj.org/article/597e8d8469de4a66ab0cbec960827863
Autor:
Patrick Grossmann, Olya Stringfield, Nehme El-Hachem, Marilyn M Bui, Emmanuel Rios Velazquez, Chintan Parmar, Ralph TH Leijenaar, Benjamin Haibe-Kains, Philippe Lambin, Robert J Gillies, Hugo JWL Aerts
Publikováno v:
eLife, Vol 6 (2017)
Medical imaging can visualize characteristics of human cancer noninvasively. Radiomics is an emerging field that translates these medical images into quantitative data to enable phenotypic profiling of tumors. While radiomics has been associated with
Externí odkaz:
https://doaj.org/article/79344e6bef3445a891fa35a2b1266c1d
Autor:
Stephen S F Yip, Chintan Parmar, Daniel Blezek, Raul San Jose Estepar, Steve Pieper, John Kim, Hugo J W L Aerts
Publikováno v:
PLoS ONE, Vol 12, Iss 6, p e0178944 (2017)
Accurate segmentation of lung nodules is crucial in the development of imaging biomarkers for predicting malignancy of the nodules. Manual segmentation is time consuming and affected by inter-observer variability. We evaluated the robustness and accu
Externí odkaz:
https://doaj.org/article/ab2082559dea4cb38a9e6744a82c8a4d
Autor:
Elizabeth Huynh, Thibaud P Coroller, Vivek Narayan, Vishesh Agrawal, John Romano, Idalid Franco, Chintan Parmar, Ying Hou, Raymond H Mak, Hugo J W L Aerts
Publikováno v:
PLoS ONE, Vol 12, Iss 1, p e0169172 (2017)
Radiomics aims to quantitatively capture the complex tumor phenotype contained in medical images to associate them with clinical outcomes. This study investigates the impact of different types of computed tomography (CT) images on the prognostic perf
Externí odkaz:
https://doaj.org/article/8544c07da7644752a3b4c686b1df04b4
Autor:
Thibaud P Coroller, Wenya Linda Bi, Elizabeth Huynh, Malak Abedalthagafi, Ayal A Aizer, Noah F Greenwald, Chintan Parmar, Vivek Narayan, Winona W Wu, Samuel Miranda de Moura, Saksham Gupta, Rameen Beroukhim, Patrick Y Wen, Ossama Al-Mefty, Ian F Dunn, Sandro Santagata, Brian M Alexander, Raymond Y Huang, Hugo J W L Aerts
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0187908 (2017)
The clinical management of meningioma is guided by tumor grade and biological behavior. Currently, the assessment of tumor grade follows surgical resection and histopathologic review. Reliable techniques for pre-operative determination of tumor grade
Externí odkaz:
https://doaj.org/article/25a4a2e4862d45c3b4abd8cf302d7ab0